An improved apriori algorithm based on support weight matrix for data mining in transaction database

Author:

Sun Li-na

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference21 articles.

1. Asif M, Jamil A (2015) Analysis of effectiveness of apriori and frequent pattern tree algorithm in software engineering data mining. In: Proceedings of 2015 6th international conference on intelligent systems, modelling and simulation, Shanghai, pp 28–33

2. Baralis E, Caglicro I, Cerquitclli T et al (2014) NEM7C0

3. Mining network data through cloud-based data mining techniques. In: Utility and cloud computing, 2014 IEEE/ACM 7th international conference on IEEE, vol 201, pp 503-504

4. Bellogín A, Castells P, Cantador I (2013) Improving memory-based collaborative filtering by neighbour selection based on user preference overlap. In: Proceedings of the 10th conference on open research areas in information retrieval, pp 145–148

5. Bhandari A, Gupta A, Das D (2015) Improvised Apriori Algorithm using frequent pattern tree for real time applications in data mining. Proc Comput Sci 46:644–651

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